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README.md

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+A Question Answering Benchmark with Implicit Reasoning Strategies
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+The StrategyQA dataset was created through a crowdsourcing pipeline for eliciting creative and diverse yes/no questions that require implicit reasoning steps. To solve questions in StrategyQA, the reasoning steps should be inferred using a strategy. To guide and evaluate the question answering process, each example in StrategyQA was annotated with a decomposition into reasoning steps for answering it, and Wikipedia paragraphs that provide evidence for the answer to each step.
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+Illustrated in the figure below: Questions in StrategyQA (Q1) require implicit reasoning, in contrast to multi-step questions that explicitly specify the reasoning process (Q2). Each training example contains a question (Q1), yes/no answer (A), decomposition (D), and evidence paragraphs (E).
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+[strategyqa_test](https://huggingface.co/datasets/voidful/StrategyQA/resolve/main/strategyqa_test.json)  
+[strategyqa_train](https://huggingface.co/datasets/voidful/StrategyQA/blob/main/strategyqa_train.json)  
+[strategyqa_train_filtered](https://huggingface.co/datasets/voidful/StrategyQA/blob/main/strategyqa_train_filtered.json)  
+[strategyqa_train_paragraphs](https://huggingface.co/datasets/voidful/StrategyQA/blob/main/strategyqa_train_paragraphs.json)